Thomas Richardson

CoRR, 2024

2022

The m-connecting imset and factorization for ADMG models.

[BibT_eX]

[DOI]

CoRR, 2022

A Bayesian Model for Online Activity Sample Sizes.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Multivariate Counterfactual Systems and Causal Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

An Interventionist Approach to Mediation Analysis.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic and Causal Inference: The Works of Judea Pearl, 2022

2021

Chernoff-Type Concentration of Empirical Probabilities in Relative Entropy.

[BibT_eX]

[DOI]

F. Richard Guo

IEEE Trans. Inf. Theory, 2021

Multiple Randomization Designs.

[BibT_eX]

[DOI]

CoRR, 2021

Bayesian Sample Size Prediction for Online Activity.

[BibT_eX]

[DOI]

CoRR, 2021

2019

A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects.

[BibT_eX]

[DOI]

Daniel Malinsky

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Acyclic Linear SEMs Obey the Nested Markov Property.

[BibT_eX]

[DOI]

Robin J. Evans

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

2015

A Finite Population Likelihood Ratio Test of the Sharp Null Hypothesis for Compliers.

[BibT_eX]

[DOI]

Wen Wei Loh

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

2014

Variations on undirected graphical models and their relationships.

[BibT_eX]

[DOI]

David Heckerman

Christopher Meek

Kybernetika, 2014

2013

Large Scale Distributed Acoustic Modeling With Back-Off ℕ-Grams.

[BibT_eX]

[DOI]

IEEE Trans. Speech Audio Process., 2013

A Polynomial-Time Algorithm for Deciding Markov Equivalence of Directed Cyclic Graphical Models

[BibT_eX]

[DOI]

CoRR, 2013

Sparse Nested Markov models with Log-linear Parameters.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

2012

Using the structure of d-connecting paths as a qualitative measure of the strength of dependence

[BibT_eX]

[DOI]

Sanjay Chaudhari

CoRR, 2012

Proceedings of the Twenty-Second Conference on Uncertainty in Artificial Intelligence (2006)

[BibT_eX]

[DOI]

Rina Dechter

CoRR, 2012

Nested Markov Properties for Acyclic Directed Mixed Graphs.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Distributed acoustic modeling with back-off n-grams.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Learning high-dimensional DAGs with latent and selection variables

[BibT_eX]

[DOI]

CoRR, 2011

An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models.

[BibT_eX]

[DOI]

Proceedings of the UAI 2011, 2011

Learning high-dimensional DAGs with latent and selection variables (Abstract).

[BibT_eX]

[DOI]

Proceedings of the UAI 2011, 2011

2010

Rescuing Loading Induced Bone Formation at Senescence.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2010

Maximum likelihood fitting of acyclic directed mixed graphs to binary data.

[BibT_eX]

[DOI]

Robin J. Evans

Proceedings of the UAI 2010, 2010

2009

Computing Maximum Likelihood Estimates in Recursive Linear Models with Correlated Errors.

[BibT_eX]

[DOI]

Michael Eichler

J. Mach. Learn. Res., 2009

A factorization criterion for acyclic directed mixed graphs.

[BibT_eX]

[DOI]

Proceedings of the UAI 2009, 2009

Testing Edges by Truncations.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2009, 2009

2008

Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2008

2005

Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables.

[BibT_eX]

[DOI]

Proceedings of the UAI '05, 2005

2004

Iterative Conditional Fitting for Gaussian Ancestral Graph Models.

[BibT_eX]

[DOI]

Proceedings of the UAI '04, 2004

2003

A New Algorithm for Maximum Likelihood Estimation in Gaussian Graphical Models for Marginal Independence.

[BibT_eX]

[DOI]

Proceedings of the UAI '03, 2003

Using the structure of d-connecting paths as a qualitative measure of the strength of dependence.

[BibT_eX]

[DOI]

Sanjay Chaudhuri

Proceedings of the UAI '03, 2003

Continuation based control of aircraft dynamics.

[BibT_eX]

[DOI]

Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2002

Markov Equivalence Classes for Maximal Ancestral Graphs.

[BibT_eX]

[DOI]

Ayesha R. Ali

Proceedings of the UAI '02, 2002

Structurally discriminative graphical models for automatic speech recognition - results from the 2001 Johns Hopkins Summer Workshop.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2002

Evaluation of Sequential Importance Sampling for blind deconvolution via a simulation study.

[BibT_eX]

[DOI]

Proceedings of the 11th European Signal Processing Conference, 2002

2001

Cross-covariance modelling via DAGs with hidden variables.

[BibT_eX]

[DOI]

Jacob A. Wegelin

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

2000

Guest editorial.

[BibT_eX]

[DOI]

Stat. Comput., 2000

1999

Discussion on the paper by Friedman and Fisher.

[BibT_eX]

[DOI]

Greg Ridgeway

David Madigan

Stat. Comput., 1999

Boosting methodology for regression problems.

[BibT_eX]

[DOI]

Greg Ridgeway

David Madigan

Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

Tractable structure search in the presence of latent variables.

[BibT_eX]

[DOI]

Heiko Bailer

Moulinath Banarjees

Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998

Interpretable Boosted Naïve Bayes Classification.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

Chain Graphs and Symmetric Associations.

[BibT_eX]

[DOI]

Proceedings of the Learning in Graphical Models, 1998

1997

A characterization of Markov equivalence for directed cyclic graphs.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 1997

An evaluation of machine-learning methods for predicting pneumonia mortality.

[BibT_eX]

[DOI]

Gregory F. Cooper

Constantin F. Aliferis

Artif. Intell. Medicine, 1997

Heuristic Greedy Search Algorithms for Latent Variable Models.

[BibT_eX]

[DOI]

Christopher Meek

Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, 1997

A Polynomial Time Algorithm for Determining DAG Equivalence in the Presence of Latent Variables and Selection Bias.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, 1997

A Note on Cyclic Graphs and Dynamical Feedback Systems.

[BibT_eX]

[DOI]

Clark Glymour

Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, 1997

Extensions of Undirected and Acyclic, Directed Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, 1997

1996

A Polynomial-Time Algorithm for Deciding Equivalence of Directed Cyclic Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

A Discovery Algorithm for Directed Cyclic Graphs.

[BibT_eX]

[DOI]

Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

1995

Causal Inference in the Presence of Latent Variables and Selection Bias.

[BibT_eX]

[DOI]

Christopher Meek